Evidence map›Paper›PMID 36229900›Full record

ArticleCNS neuroscience & therapeutics2023

Altered dynamic functional network connectivity in levodopa-induced dyskinesia of Parkinson's disease.

Qianqian Si, Caiting Gan, Heng Zhang, Xingyue Cao, Huimin Sun, Min Wang, Lina Wang, Yongsheng Yuan, Kezhong Zhang

Open access · goldAbstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Convergent and divergent intra- and internetwork connectivity in Parkinson's disease with wearing-off.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Article
  8. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Qianqian SiDepartment of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Caiting GanDepartment of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Heng ZhangDepartment of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xingyue CaoDepartment of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Huimin SunDepartment of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Min WangDepartment of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Lina WangDepartment of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yongsheng YuanDepartment of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Kezhong ZhangDepartment of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.ORCID 0000-0002-4437-1095
Jiangsu Province Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe aim of this study was to clarify the dynamic neural activity of levodopa-induced dyskinesia (LID) in Parkinson's disease (PD).

methodsUsing dynamic functional network connectivity (dFNC) analysis, we evaluated 41 PD patients with LID (LID group) and 34 PD patients without LID (No-LID group). Group spatial independent component analysis and sliding-window approach were employed. Moreover, we applied a k-means clustering algorithm on windowed functional connectivity (FC) matrices to identify reoccurring FC patterns (i.e., states).

resultsThe optimal number of states was determined to be five, the so-called State 1, 2, 3, 4, and 5. In ON phase, compared with No-LID group, LID group occurred more frequently and dwelled longer in strongly connected State 1, characterized by strong positive connections between visual network (VIS) and sensorimotor network (SMN). When switching from OFF to ON phase, LID group occurred less frequently in State 3 and State 4. Meanwhile, LID group dwelled longer in State 2 and shorter in State 3. No-LID group occurred more frequently in State 5 and less frequently in State 3. Additionally, correlation analysis demonstrated that dyskinesia's severity was associated with frequency of occurrence and dwell time in State 2, dominated by inferior frontal cortex in cognitive executive network (CEN).

conclusionUsing dFNC analysis, we found that dyskinesia may be related to the dysfunctional inhibition of CEN on motor loops and excessive excitation of VIS and SMN, which provided evidence of the changes in brain dynamics associated with the occurrence of dyskinesia.

Indexed as

Dyskinesia, Drug-InducedParkinson DiseaseAntiparkinson AgentsBrainHumansLevodopaAntiparkinson AgentsLevodopadynamic functional network connectivityfMRIlevodopa-induced dyskinesiaParkinson's disease

Identifiers

PMID36229900
PMCPMC9804048
OpenAlexW4306156498

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.